{"id":"https://openalex.org/W7161165508","doi":"https://doi.org/10.48550/arxiv.2605.12800","title":"Resolution Information: Limits of Ambiguity Resolution for Generative Communication","display_name":"Resolution Information: Limits of Ambiguity Resolution for Generative Communication","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7161165508","doi":"https://doi.org/10.48550/arxiv.2605.12800"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.12800","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12800","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.12800","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106399363","display_name":"Angeles Vazquez-Castro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vazquez-Castro, Angeles","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106399362","display_name":"Faheem Dustin Quazi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quazi, Faheem Dustin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136094821","display_name":"Zhu Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.25360000133514404,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.25360000133514404,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.11400000005960464,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.11140000075101852,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.7253999710083008},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5705999732017517},{"id":"https://openalex.org/keywords/ambiguity-resolution","display_name":"Ambiguity resolution","score":0.5116999745368958},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.48590001463890076},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4779999852180481},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.43130001425743103},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.41449999809265137},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3984000086784363},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.38929998874664307}],"concepts":[{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.7253999710083008},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5705999732017517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5504000186920166},{"id":"https://openalex.org/C2777559092","wikidata":"https://www.wikidata.org/wiki/Q4741445","display_name":"Ambiguity resolution","level":4,"score":0.5116999745368958},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.48590001463890076},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4779999852180481},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4767000079154968},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.43130001425743103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41659998893737793},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.41449999809265137},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.38929998874664307},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37720000743865967},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3192000091075897},{"id":"https://openalex.org/C109546454","wikidata":"https://www.wikidata.org/wiki/Q3798604","display_name":"Information geometry","level":4,"score":0.3165000081062317},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2849000096321106},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.12800","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12800","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.12800","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12800","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7000447511672974}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,122,204,223],"generative":[1,8,158,224],"communication,":[2,225],"the":[3,33,49,67,77,94,103,125,128,143,157,161,226],"transmitter":[4],"sends":[5],"a":[6,15,29,82,111,197,230],"compact":[7],"description,":[9],"such":[10],"as":[11,59,66,151,164],"model":[12,227],"parameters":[13],"or":[14,44],"latent":[16],"representation,":[17],"rather":[18],"than":[19],"raw":[20],"data.":[21],"The":[22,240],"receiver":[23,95],"uses":[24],"this":[25,123],"description":[26],"to":[27,37,75,102,110,142],"form":[28,97],"posterior":[30,79,99,162,232],"belief":[31,80],"over":[32],"underlying":[34],"state":[35],"and":[36,170,217],"resolve":[38],"semantic":[39,84],"ambiguity:":[40],"which":[41],"interpretation,":[42],"decision,":[43],"action":[45],"is":[46,130,243],"supported":[47],"by":[48,53],"received":[50],"representation?":[51],"Inspired":[52],"Shannon's":[54],"geometric":[55],"view":[56],"of":[57,127,189],"communication":[58],"uncertainty":[60],"resolution,":[61],"we":[62],"introduce":[63],"resolution":[64,107,144],"information":[65,69,108,191],"minimum":[68],"update,":[70],"measured":[71],"in":[72,165],"nats,":[73],"required":[74],"move":[76],"receiver's":[78],"into":[81],"low-ambiguity":[83],"region.":[85],"Our":[86],"work":[87],"yields":[88],"three":[89],"main":[90],"results.":[91],"First,":[92],"when":[93,156],"can":[96,171,182,192,208],"any":[98],"belief,":[100],"corresponding":[101],"ideal":[104],"unconstrained":[105],"case,":[106,124],"reduces":[109],"binary":[112],"divergence":[113],"that":[114,186,212,234],"depends":[115],"only":[116],"on":[117,245,248],"each":[118],"region's":[119],"prior":[120],"probability.":[121],"shape":[126],"regions":[129,181,214],"irrelevant.":[131],"Under":[132],"repeated":[133],"sampling,":[134],"ambiguity":[135,153,174,185,238],"decays":[136],"exponentially":[137],"with":[138],"an":[139,148,152],"exponent":[140],"equal":[141],"information,":[145],"giving":[146],"it":[147],"operational":[149,169],"meaning":[150],"exponent.":[154],"Second,":[155],"representation":[159],"constrains":[160],"family,":[163],"practice,":[166],"geometry":[167,233],"becomes":[168],"create":[172],"irreducible":[173],"floors:":[175],"half-spaces":[176],"remain":[177],"resolvable,":[178],"whereas":[179],"polytope-type":[180],"exhibit":[183],"residual":[184],"no":[187],"amount":[188],"additional":[190],"remove.":[193],"These":[194],"results":[195],"reveal":[196],"fundamental":[198],"departure":[199],"from":[200],"classical":[201],"channel":[202],"coding.":[203],"Shannon":[205],"theory,":[206],"codes":[207],"be":[209],"designed":[210],"so":[211],"decoding":[213],"separate":[215],"messages":[216],"error":[218],"probability":[219],"vanishes":[220],"below":[221],"capacity.":[222],"itself":[228],"induces":[229],"constrained":[231],"may":[235],"prevent":[236],"asymptotic":[237],"resolution.":[239],"resulting":[241],"limit":[242],"not":[244],"rate,":[246],"but":[247],"resolvability":[249],"itself.":[250]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-15T00:00:00"}
